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"Cybersecurity for AI: Becoming an Ace"

A practical, engaging guide to AI security--for the people accountable for getting it right.

In today’s AI-driven world, the biggest risk isn’t just external threats—it’s the reality that most developers are not naturally focused on security. Teaching secure AI practices is hard, often overlooked, and rarely prioritized until something goes wrong. Yet when it does, it’s not the developer who is held accountable—it’s the manager, the team lead, the person responsible for delivery.

"Cybersecurity for AI: Becoming an Ace" is written for those leaders.

Authored by Mark Kerzner and Ashish Upadhyay, this book goes beyond theory to address the real-world challenge: how to build teams that actually care about—and implement—AI security. It covers adversarial machine learning, prompt injection, threat modeling, and frameworks like the OWASP GenAI Top 10, but its core value lies in execution.

You’ll learn:

• Why developers resist security—and how to change that
• How to make AI security engaging, practical, and even fun to adopt
• Ways to embed security thinking into everyday development workflows
• How to lead teams that build secure AI systems without slowing innovation

With real-world case studies, actionable strategies, and a focus on human behavior—not just technology—this book helps you turn security from a bottleneck into a culture.

Because in AI, security isn’t optional—and accountability starts at the top.

Offered Free by: Elephant Scale
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